APPROVED: Tammy Kinley, Major Professor and Chair of the Division of Merchandising Christy Crutsinger, Committee Member Bharath M. Josiam, Committee Member Judith C. Forney, Dean, School of Merchandising and Hospitality Management Michael Monticino, Dean of the Robert B. Toulouse School of Graduate Studies YOU ARE WHAT YOU WEAR: THE EXAMINATION OF FASHION LEADERSHIP AND GENERAL LEADERSHIP AMONG AFRICAN AMERICAN AND CAUCASIAN AMERICAN COLLEGE STUDENTS. Davette Angelo, B. S. Thesis Prepared for the Degree of MASTER OF SCIENCE UNIVERSITY OF NORTH TEXAS May 2010
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APPROVED:
Tammy Kinley, Major Professor and Chair of
the Division of Merchandising Christy Crutsinger, Committee Member Bharath M. Josiam, Committee Member Judith C. Forney, Dean, School of
Merchandising and Hospitality Management
Michael Monticino, Dean of the Robert B. Toulouse School of Graduate Studies
YOU ARE WHAT YOU WEAR: THE EXAMINATION OF FASHION LEADERSHIP
AND GENERAL LEADERSHIP AMONG AFRICAN AMERICAN AND CAUCASIAN
AMERICAN COLLEGE STUDENTS.
Davette Angelo, B. S.
Thesis Prepared for the Degree of
MASTER OF SCIENCE
UNIVERSITY OF NORTH TEXAS
May 2010
Angelo, Davette. You are what you wear: The examination of fashion leadership
and general leadership among African American and Caucasian American college
students. Master of Science (Merchandising), May 2010, 88 pp., 11 tables, 4 figures,
references, 89 titles.
The purpose of this study was twofold. First, the study compared fashion
personality characteristics and shopping behaviors of African-American and Caucasian-
American college students. Secondly, this study examined characteristics of leadership
in general, and fashion leadership specifically, on fashion personality characteristics.
The fashion personality characteristics studied included fashion leadership, fashion
involvement, shopping enjoyment, and fashion consciousness.
The participants consisted of 268 African Americans and 239 Caucasian
Americans from two universities in the United States. Ethnicity was found to be an
influence on fashion personality characteristics and shopping behaviors in this study.
African Americans in the sample were found to have higher levels of fashion personality
characteristics and shopping behaviors than Caucasian Americans. Fashion leadership
was found to be positively related to general leadership, fashion involvement, shopping
enjoyment and fashion consciousness. General leadership was found to be positively
related to fashion involvement, shopping enjoyment, fashion consciousness, academic
classification level. However, there was no significant difference found between general
leadership and age.
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Copyright 2010
by
Davette Angelo
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ACKNOWLEDGEMENTS
While completing my master’s degree and my thesis I have received continuous
support from many people. I would like to acknowledge Dr. Josiam for introducing this
topic in his research methods class and encouraging my efforts to expand it. In addition
I would like to thank my thesis advisor, Dr. Tammy Kinley, for helping me to define and
maintain my research agenda and writing. I would also like to thank Dr. Christy
Crutsinger not only for serving as one of my thesis committee members but also for
assisting me with other research efforts and celebrating all of my accomplishments at
the University of North Texas.
Special thanks are also due to the faculty at Texas Southern University for
supporting my research by opening up their classrooms to administer my
questionnaires. It is because of their participation that what began as an idea came to
fruition, and they provided continuous encouragement to me to complete this research
project.
Lastly, I would like to thank my family for their never-ending support throughout
all of my educational pursuits. To my late grandmother, Mable A. Benson, thank you for
beginning a legacy of education that I will continue and to my late grandfather, Earlee
Benson, thank you for beginning a legacy of Historically Black University graduates. To
my mother, who always listened to my triumphs and my trials and to my father, who
made me realize that life is a gift to be lived every day as though it were my last. To my
extended family, the University of North Texas Black Graduate Students Association,
you guys helped to complete my graduate school experience.
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TABLE OF CONTENTS
Page
ACKNOWLEDGEMENTS ............................................................................................... iii
LIST OF TABLES ........................................................................................................... vii
LIST OF FIGURES ........................................................................................................ viii
Chapter
I. INTRODUCTION .......................................................................................................... 1
Student classification level in college refers to the year of college the respondent
was ranked (i.e., freshman, sophomore, junior or senior).
Assumptions
This research was based on the assumption that there was no significant
difference in the fashion personality characteristics, shopping behaviors, and general
leadership characteristics among African Americans who attend Historically Black
10
Universities (HBU) and those who attend state universities. This research was also
based on the assumption that there was no significant difference in the fashion
personality characteristics, shopping behaviors, and general leadership characteristics
among Caucasian Americans who attend state universities and Historically Black
Universities (HBU).
Limitations
The sample in this study was limited to two schools in the state of Texas.
Therefore, the results cannot be generalized to the entire population of African
Americans and Caucasian Americans.
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CHAPTER II
LITERATURE REVIEW
This study was developed to compare and contrast the fashion personality
characteristics and shopping behaviors of two ethnic groups: African American and
Caucasian American college students. In addition, this study examined the influence of
fashion leadership on fashion personality characteristics. This literature review presents
findings regarding the effects of ethnicity on fashion personality characteristics, which
included fashion leadership, fashion involvement, shopping enjoyment, and fashion
consciousness. Research regarding general leadership is also presented. The literature
also was summarized regarding shopping behaviors, such as motivation for shopping,
comfort levels of purchasing clothing for one’s self, frequency of shopping for clothing in
general, frequency of shopping for one’s self specifically, frequency of returned clothing
purchases, money spent on clothing for one’s self, and time spent on shopping trips.
Ethnicity
There are many definitions for the term ethnicity. Gordon’s (1964) definition of
ethnicity has been presented in several studies (Forney & Rabolt, 1986; Joseph, 2006;
Ogden, Ogden, & Schau, 2004) as "any group which is defined or set off by race,
religion, or national origin, or some combination of these categories" (p. 27). Gordon
(1964) also indicated that ethnicity has been connected to intrinsic and extrinsic traits
(Forney & Rabolt, 1986). Through one’s ethnicity, intrinsic traits uphold the ethnic
legacy that includes cultural aspects such as religion, historical language, customs, and
traditional practices. An individual’s extrinsic traits include those that can be observed
by others, such as one’s name, accent of language, residential patterns, and dress.
12
Although research suggests that ethnic groups have similarities in consumption of
products, studies also suggest that no entire ethnic group is homogenous, and that
within ethnic groups, there are segments that differ. Forney and Rabolt (1986)
recognized that Americans in general make broad ethnic groupings based on visual
traits that can be simple to observe, such as race. This method of grouping can be
inaccurate as ethnicity has other factors that influence behavior besides race.
Burkey (1978) provided a more detailed definition that refered to three specific
characteristics of ethnicity.
Three significant aspects within the individual’s environment contribute to ethnicity -- langauage, culture, and physical appearance. Generally speaking, the greater the contrasts between two or more collectivies in one or a combination of these conditions, the greater the sense and relevance of ethnicity (p. 6).
Barth (1969) asserted that the differences between groups created the concept
of ethnicity, instead of the similarities of behaviors within a group. Hirschman (2001)
provided a description of ethnicity as a reference to a group that declares a distinct
peoplehood or identity from others.
Previous studies have also discussed the difference between race and ethnicity
(Kretsedemas, 2008; O’Neal, 1998). Ethnicity as a whole defines the group based on
cultural criteria (O’Neal, 1998). Race is a trait represented through the color of one’s
skin and/or a category that is based on physical criteria (Kretsedemas, 2008; O’Neal,
1998). Williams (1995) reviewed the textbook Race and Ethnicity in Research Methods,
edited by John H. Stanfield II and Rutledge M. Dennis (1993), which made an effort to
provide updated, relevant measures and research procedures for race and ethnicity
studies. Williams found that creating categories to identify someone as an individual can
be difficult; however, one of the effective methods to do so is through ethnicity. By using
13
ethnicity as a category, the degree to which members of the same race share the
similar values and cultural orientation can be identified. Williams suggested that
researchers keep in mind that racial and ethnic groups have differences within
themselves. Throughout the present research, references to studies include both race
and ethnicity; however, in this research ethnicity is being used as proxy for race.
Comparison studies in particular highlight the better social scientific work.
Hennon and Brubaker (1988) (as cited in Summers, Belleau, & Wozniak, 1992) stated
that “comparative studies can help generalize, build theory, and provide a broader
database” and expand the database of information for the scientific community.
Previous studies also suggest that ethnicity is a strong influence on consumer
behavior. Research indicates that ethnicity can be used as a predicting variable to
determine differences in clothing preference, shopping behaviors, and fashion
personality characteristics. The use of demographics to describe retail consumers can
greatly assist in evaluating the amount of existing and potential shoppers in market
segments (Summers et al., 1992). According to Kara and Kara (1996), the most
important subcultures are identified through ethnicity, and they indicated that the
commonalities within a subculture or group guide the direction of the behavior of the
group. Kara and Kara (1996) also asserted that young consumers are becoming more
influenced by culture and ethnicity.
Eliminian (2007) studied the beliefs of three ethnicities (African Americans,
Hispanics, Asians) and the level to which their consumption behaviors were similar. The
study also identified the commonalities across ethnicity. The sample for this study
consisted of 40 Asians, 40 African Americans, and 40 Hispanics. Findings indicated that
14
there was a positive relationship between perceived belief similarities within the ethnic
groups. The study also predicted that ethnicity would be less dissimilar to African
Americans than Hispanics and Asians would be to other races. African American
subjects had a stronger ethnic group effect in regard to belief similarity and commonality
than did other ethnicities. However, it must be taken into consideration that the sample
size was limited to 40 subjects per ethnic or racial group and that Caucasian Americans
were not a tested group.
Delener and Neelankavil (1990) indicated that similarities within an ethnic group
could exist because as they are using the same information sources, choosing the
same types of products to suit their particular needs, and shopping at the same types of
stores. For example, Kim and Han (2000) indicated that consumers are more alike
among their ethnic group than across other ethnic groups. The researchers investigated
the differences in the perceived image of the social class that shopped at five retail
stores (JCPenney, Wal-Mart, Dillard’s, Nordstrom, and Macy’s) and three brands
(Polo® [Polo Ralph Lauren Corp., New York, NY, www.ralphlauren.com], Calvin Klein®
[Calvin Klein, Inc., New York, NY, www.calvinklein.com], and Levi’s® [Levi Strauss &
Co., San Francisco, CA, www.levi.com]) among three ethnic groups. The sample
consisted of African American, Korean, and Caucasian American college students.
Koreans and Caucasian Americans within this study believed stores such as
JCPenney to be geared toward those identified as lower-middle class; however, African
Americans believed JCPenney to be geared toward the upper-middle class. Koreans
perceived Dillard’s to be a store for those that were upper-middle, Nordstrom to be one
for those that were considered lower-upper, and Macy’s to be geared toward those
15
between the lower-upper and upper-middle classes. African Americans and Caucasian
Americans in this study perceived the social class for Dillard’s, Nordstrom and Macy’s to
be higher than Koreans. All of the ethnic groups perceived Wal-Mart as a store for
lower-middle and upper-lower classes.
With regard to brands, differences were found in the perception of brand
attributes measured in the study. The Polo® brand was perceived as sexy and
contemporary to African Americans, formal and intelligent to Koreans, and mature to
Caucasian Americans. The Levi’s® brand was found to be perceived as contemporary
and formal to African Americans, and sexy and intelligent to Caucasian Americans. One
difference was found in that African Americans perceived the Calvin Klein® brand to be
more mature than did the Koreans. The researchers suggested that marketing
strategies differ when attempting to reach different ethnic groups as they have varying
perceptions of retail clothing stores and brands. The different perceptions could affect
whether members of an ethnic group accept and purchase products under a particular
brand.
Additional Variables Contributing to Consumer Behavior
Other factors in addition to ethnicity have been found to influence the consumer
behavior of African American and Caucasian American college students. These
influential variables include concepts referred to in this study as fashion personality
characteristics (fashion leadership, fashion involvement, shopping enjoyment and
fashion consciousness) and shopping behavior. The personality trait of general
leadership also has been found to influence the behavior of these ethnic groups.
Studies that incorporated these variables are reviewed.
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Fashion Leadership
According to Stone (2007), fashions are accepted by a few before they are
accepted by the majority. One who sways others to accept a new fashion or style is
known as a fashion leader. The majority of consumers who follow a fashion leader are
known as non-leaders or as followers. Within a college setting a considerable number of
college students can be categorized as fashion leaders, although larger numbers of
college students fall into the category of fashion followers (Stanforth, 1995). Without
fashion leaders the industry would have difficulties integrating new fashion items into
the market, leaving fashion followers to make purchasing decisions on their own.
Fashion leaders have different characteristics than fashion followers. Although
fashion leadership is typically found in certain demographics it is also found among
those who are not necessarily described as the traditional fashion leader. Summers
(1970) asserted that higher levels of fashion leadership is found in those who are
younger, more educated, have higher incomes, and higher occupational status.
Beaudoin, Moore, and Goldsmith (1998) noted that fashion leaders were likely to spend
more money on apparel, read more fashion magazines, and go shopping more
frequently than followers.
Belleau, Nowlin, Summers, and Xu (2001) examined fashion orientation (leaders
and followers), attitudes and knowledge toward exotic leather apparel products, and
their shopping orientation. Sproles, (1979) identified the eight stages the eight stages
for fashion adoption, which included: awareness, interest, evaluation identification of
alternatives, decision, clothing inventory, usage, and obsolescence. Because the
researchers were examining fashion leadership in regard to a product from a category
17
that they considered less familiar, the sample consisted of fashion professionals
because their work with the fashion industry provided a higher potential for their
awareness of trends. In addition, the fashion professional work environments allowed
them to serve as influencers of consumers. The majority of the sample was Caucasian
American females. Of the participants who completed the questions the majority were
categorized as leaders and the remaining were categorized as followers.
Three hypotheses that were directly related to the characteristics of fashion
leaders were included in this study. It was hypothesized that there would be no
differences between fashion followers regarding their attitudes and product knowledge
of exotic leather apparel. The hypothesis was rejected due the finding that fashion
leaders had a more positive attitude toward exotic leather apparel items than fashion
followers.
It was then hypothesized that fashion leaders and followers will have no
differences in shopping orientations. Shopping orientation included the factors
shopping enjoyment, cost consciousness, traditionalism, practicality, planning, and
following. The hypothesis was partially supported considering the contrasting
relationships found. Fashion leaders enjoyed shopping more than followers, and were
less conscious of price but more traditional and practical than followers. However,
findings for this hypothesis also indicated that there were no differences in the fashion
leaders and followers in planning for shopping and fashion following. The researchers
suggested that fashion leaders were more likely to take on more social risk, and they
were not afraid of being unconventional and impractical in regard to fashion items. Also,
because of the fashion leaders’ higher interest in fashion, they enjoyed shopping more.
18
The last hypothesis that provided data on characteristics of fashion leaders and
followers was that demographics such as age, income, ethnic background, and
occupation would have no influence on fashion leadership. This hypothesis could be
only partially accepted considering that the sample was homogeneous and the only
differentiation between fashion leaders and followers was work status. The fashion
leader in this study was more likely to be a full-time professional in the fashion industry.
Behling (1992) collected and analyzed 20 studies that had been conducted in
regard to fashion adoption. The studies that were reviewed were conducted between
the years 1955 and 1988. Behling (1992) categorized the 20 studies by three common
themes discussed in the studies: leadership, innovativeness, and adoption. Within the
findings of this research, fashion leaders were found to have a significant relationship
with eight demographic variables, which included age, marital status, children,
education, income, socioeconomic level or status, gender, and race. Studies found that
as women increase in age, marry, and start having children their level of fashion
leadership declines.
Generalizations were developed based on the analysis of the 20 studies that
education and income are positively related to being a fashion leader. When
considering gender, males exhibited fewer fashion leadership qualities than did females.
A contrasting finding in regard to race was presented as Caucasian Americans were
found to have a higher level of fashion leadership than African Americans. Behling
(1992) noted that the studies examined used dissimilar samples.
Ethnicity has been found to be a variable that is related to fashion leadership.
The researchers recognized that African Americans sometimes purchase particular
19
brands because they communicate to others their status. Dalrymple, Robertson, and
Yoshino (1971) assessed the rate of adapting to new product categories such as small
appliances, food, and clothing items among three ethnic groups (African Americans,
Caucasian Americans, and Japanese Americans). Within the three ethnic groups high
and low income were used as a divider. Results indicated that income was an
influencing factor on the ability to buy more products, as the higher income participants
were more innovative than others.
Ethnicity was found to influence the innovativeness in regard to new products.
African Americans have been found to sometimes purchase particular brands because
they communicate to others their status (Dalrymple, Robertson, and Yoshino 1971). The
highest in adapting to new items were the Japanese Americans for small appliances,
Caucasian Americans for food products, and African Americans for clothing items.
Findings also indicated that African Americans with higher and lower incomes owned
more new clothing items than the other groups, although there was not a significant
difference. It was also found through interviewing the study’s participants that African
Americans had a higher interest in clothing than the other ethnicities.
Darden and Reynolds (1974) studied males from suburban neighborhoods to
measure demographics, socioeconomic(s), interests, and activities. Questions were
asked regarding innovative behavior toward male personal care products, apparel
fashions, and home care products. This information was then used to create profiles of
male innovators and composed four innovator groups: the suburban swinger, the
established isolates, the suburban conservatives, and the established suburbanites.
The suburban swinger profile of male innovators were found to rate higher than
20
average on apparel innovativeness and personal grooming. However the suburban
sSwingers were lower than average on home care innovativeness. This profile group of
males was found to be self-confident, young, an influence in their community, and highly
interested in obtaining new ideas for clothing. These male participants also scored
higher in regard to apparel innovativeness.
Summers (1970) suggested that the primary purpose of fashion opinion leaders
is to be innovative in fashion. Tat (1984) studied the fashion opinion leadership in
African American females. In this study, opinion leadership in respect to fashion focused
on whether the women considered themselves as persons who would be considered to
give their personal outlook about fashion to others. Thirty-four percent of the sample
was found to be fashion opinion leaders. Many of the activities and interests found
within the opinion leaders were also found in fashion leaders. For example, fashion
opinion leaders were found to be more interested in fashion than non-opinion leaders.
Also, they went to stores and reviewed fashion items and other fashionable women to
get ideas for clothing for themselves. They were also found to be more exposed to
mass media than opinion followers.
Stith and Goldsmith (1989) studied gender and ethnic differences in fashion
innovativeness, fashion opinion leadership, and spending on fashions. The sample
included an even number of both genders, African Americans, and Caucasian
Americans. More than half the sample was married and had at least a college degree.
Significant differences were found between the two ethnic groups, gender, and all three
variables. African American males and females were found to have higher mean scores
of fashion innovativeness, fashion opinion leadership, and spending on new fashions.
21
The study found that age was negatively related to fashion innovativeness, fashion
opinion leadership, and spending on new fashions.
Dixon (2007) studied the social and psychological factors on the dress and
appearance of African American college students. Fashion leadership was one of the
psychological factors examined. Dixon found that the desire to express one’s self-
identity through apparel was the major difference between leaders and followers.
Responses to questions regarding fashion leadership were given through descriptive
data. Of the sample participants who were leaders, more than half said they were
confident in their ability to recognize fashion trends, and almost half said that clothing
was one of the ways to express individuality. In contrast, the research found that more
than half of the sample participants who were followers disagreed that they wanted to
be the first to try a trend, disagreed that they were the first to try a trend therefore
people regarded them as a fashion leader, and said it was not important to be a fashion
leader. According to the researcher, the sample was categorized as having neutral
position on fashion leadership. However, Dixon tested a hypothesis which predicted that
fashion leadership would be the most influential psychological factor on dress and
appearance. To test this hypothesis, multiple regression was used to identify the best
linear combination of the four psychological factors used in the study for predicting
dress and appearance: self-consciousness, self-confidence, fashion leadership, and
shopping enjoyment. Fashion leadership had the highest beta weight of all of the
factors, which indicated that it influenced dress and appearance the most.
Fashion Involvement
Involvement is a concept that measures the amount of relevancy or importance a
22
person perceives with regard to a product category or object (Zaichowsky, 1986). The
amount of importance a consumer perceives the product or object to have determines
whether the consumer is categorized as being involved at a high level or at a low level
(Josiam, Kinley, & Kim, 2005). The degree that consumers are interested in fashion and
the amount of importance that is placed on the category is fashion involvement
(McKinney et al., 2004; Park, Kim & Forney, 2006). Research findings have presented
the involvement construct as a strong predictor of consumer behavior (Fairhurst, Good,
& Gentry, 1989; Josiam et al., 2005).
Sullivan and Heitmeyer (2008) suggested that involvement in shopping for
apparel was a strong indicator of future purchasing decisions. Despite whether a
consumer’s involvement level is high or low, his or her fashion choices can be
influenced by this concept (Belleau, Summers, Xu, & Pinel, 2007). For example, low-
involvement customers might be more likely to be focused on price and convenience
while high-involvement consumers might tend to focus on quality and service (Tigert,
King, & Ring 1980). Those who are extremely involved in fashion can be very important
to retailers as they continuously feed their interest by shopping using various channels
(internet, brick-and-mortar, catalog). This in turn supports the retail industry’s profit.
Fairhurst et al. (1989) conducted a study to measure involvement in women’s
apparel among two groups: customers of women’s apparel specialty stores and
undergraduates in home economics courses. Findings indicated that involvement does
vary across groups, as the students were found to be more involved than the specialty
store customers with women’s apparel.
Summers et al. (1992) studied the relationship between the perceptions of
23
women shopping for apparel and fashion and the types of stores patronized
Demographics such as ethnicity, age marital status, and income were examined to
identify its influence on shopping for apparel and fashion. Shopping involvement was a
factor used to investigate the perceptions of fashion and of shopping for clothing. A
positive and strong relationship was found for respondents who patronized stores that
had clothing only and for those who shopped for themselves. A positive relationship was
found between the amount of time spent shopping and involvement, regardless of
whether the women were shopping for themselves or their families.
Demographics and ethnicity were found to be related to shopping involvement as
the study indicated that other ethnicities were more involved than Caucasian
Americans. Age was found to have an inverse relationship with involvement as younger
respondents were more involved than older participants in the study. Employment
status was also found to be significantly related to shopping involvement. Unemployed
women were more involved than housewives and retired women yet employed women
were also found to be more involved in shopping for apparel than retired women. No
relationship was found between shopping involvement and education, marital status, or
income.
Gravely (1999) studied the differences in the business-suit buying behavior
between African American males and Caucasian American males who were university
faculty, staff, and administrators. Also examined in this study were consumer attributes
such as apparel involvement, self-esteem, reference group, social class, and media
usage. Within this study it was hypothesized that apparel involvement would be
significantly related to the business-suit buying process for the different racial groups.
24
This hypothesis was supported in that apparel involvement and race were found to have
a significant relationship, and that African American males were found to be more
involved with apparel then Caucasian American males, even though the study utilized a
small sample size.
McKinney et al. (2004) examined several social factors (reference groups, social
participation, fashion involvement, clothing benefits sought, and social environment) and
their influence on buying behavior in regard to clothing among African American college
students. A significant relationship was found between fashion involvement, the amount
of time spent shopping, and the frequency of shopping trips when prices were between
$50 and $150 and above $150. In regard to clothing purchases between $50 and $150,
highly involved African Americans were found to make clothing purchases at the
beginning of a season and to impulse buy. Purchases for more than $150 were made
by highly involved students who bought clothing at the beginning of a season and were
prone to impulse buy. African Americans who were categorized in the study as low
involvement were more likely to purchase clothing on clearance and less likely to
purchase at full price.
Overall, McKinney et al.’s (2004) suggested that students with high involvement
made higher full-priced purchases instead of clearance. McKinney et al. noted that
earlier studies regarding the relationship between fashion involvement and African
Americans were mostly focusing on older consumers instead of those that were of
college age. Also, a large number of the previous studies that examined fashion
involvement included a sample of that were primarily Caucasian American, middle
class, and female. Therefore these results cannot be generalized to a sample of male
25
and female African American college students. It was suggested by McKinney et al. that
fashion involvement be a variable used to compare African Americans and other
ethnicities to provide a better understanding of the market segments within the
population of college students.
Belleau et al. (2007) examined the interest in fashion items made from emu
leather among Generation Y consumers. The researchers selected this demographic for
this study because consumers within this segment have previously found to have high
fashion involvement levels and to seek new products and follow trends. Fashion
involvement and other factors that influence this consumer group’s clothing purchases
were also investigated. The sample was found to have a slight level of fashion
involvement and none could be considered highly involved. According to the
researchers, these results could be caused by the fact that the fashion product (emu
leather) measured for involvement in the study was new to the market at the time of
study. Because the product was new to the market, the respondents could have been
unable to identify with the product. However, t-test analysis findings indicated that there
was a relationship between levels of fashion involvement among respondents who
planned to purchase the fashion items tested in the study and those who did not.
Respondents who were more involved with fashion had positive purchase intent for the
product.
Shopping Enjoyment
Shopping enjoyment was defined as the pleasure of a shopping experience for
its own sake, separate from any product selection/purchase consequence that might
for clothing could include the identification of the motivation, the amount spent on
clothing, and comfort levels when shopping for clothing. Shopping behavior can be split
into the time and frequency with which one shops for clothing (McKinney et al., 2004).
The research comparing African Americans and Caucasian Americans suggests
that there can be behavioral differences between these two ethnicities. Alexis (1962)
covered previous studies of the expenditures of African Americans and Caucasian
Americans in the categories of food, housing, clothing, recreation and leisure, home
furnishings and equipment, medical care, auto transportation, and non-auto
transportation. Findings indicated that African Americans spent more than Caucasian
Americans on clothing and that African Americans were not as price sensitive as
Caucasian Americans.
35
Sexton (1972) surveyed research regarding the income levels of African
Americans and Caucasian Americans and motivation behind three segments of buying
behavior. The income levels were categorized as low and high, and the three behaviors
included store shopping behavior, product behavior, and buying behavior toward
brands. Clothing was a product category that was examined by Sexton. Of the studies
Sexton reviewed, African Americans were found to spend more than Caucasian
Americans, regardless of income levels, for clothing and other products such as
cosmetics and toiletries, liquor, and tobacco. Sexton, suggested that the motivation
behind this behavior was possibly due to the desire of African Americans to present
themselves visually as part of mainstream America.
Fontes and Fan (2006) used budget allocation to measure the differences of
among ethnic groups in purchasing status-conveying goods. The differences were
identified among the annual household budget allocations for apparel, housing, and
home furnishings among Caucasian Americans, Asian Americans, Hispanics, and
African Americans. Findings from this study indicated that African Americans and
Hispanics budgeted more money for clothing than Caucasian Americans and Asian
Americans. African Americans had the highest actual percentage value of budget for
apparel among all of the ethnic groups examined. The average annual budget
difference for apparel was $283 for Hispanic households and $291 for African American
households when compared to Caucasian American households. This is consistent with
Dardis, Derrick, and Lehfeld (1981) who found that African Americans spent more on
clothing than Caucasian Americans.
Collectively college students are a strong market segment as full-time students
36
represented more than $237 billion in spending power in 2008, which was a 19.7%
increase compared to 2007 (Frank, 2008). According to Fairhurst et al. (1989), college
students spent major portions of their discretionary income on clothing. This created a
wide array of opportunities for various industries (Hayhoe, Leach, Turner, Bruin, &
Lawrence, 2000). Hayhoe et al. noted that several researchers have found that the item
purchased most by college students is clothing.
Dixon (2007) studied the social and psychological factors on the dress and
appearance of African American college students, which provided demographic data of
purchasing behavior of the sample. Of the 280 sample participants, 51% indicated they
spent less than $100 on clothing, 26.1% spent $101.00 to $200.00, and 14.3% spent
$201.00 to $300.00. Thirty-eight percent of the sample shopped for clothing at least
once a month, 23.2% of the sample indicated they shopped once every two weeks,
22.9% shopped for special occasions only, 10% shopped once a week, and 5.7%
shopped more than once a week. The study also found that referents such as family
members and friends were not heavy influencing factors in clothing purchasing
decisions, which could suggest that students are comfortable in making purchasing
decisions on their own.
Kang and Johnson (2009) examined post-purchase behavior among
undergraduate students to identify motivation for returns. The majority of the sample
was females between the ages of 18 to 27. The average amount spent monthly on
clothing within this sample was $136.00. Over half of the sample shopped for apparel
once a month or every two weeks, while only 5.4% shopped more than once a week
(the remaining amount of the sample’s frequency of shopping trips were not given).
37
Study results indicated that fashion leaders were not frequent returners. However, there
was a significant correlation between buying on impulse and returns (the ethnicity of the
sample was not given in the demographics of this research).
Kinley (in press) studied the shopping behaviors among women in relation to
their fit preferences and the clothing benefits sought for the clothing item, pants. The
majority of the sample was Caucasian American and almost half were between ages
18-22, the conventional age of college students. The researchers measured the clothing
benefits sought among four factors (fashion forward, sexy, reputation, and individualist).
Findings indicated that women who shopped for clothing twice a month or more enjoyed
receiving benefits from clothing such as being perceived as fashion forward, sexy, and
reputation. Women in this study who enjoyed benefits such as fashion forward, sexy,
and reputation were also found to be more willing to spend more money on pants for
themselves.
Summary
Understanding the differences between ethnic groups and their attitudes and
behaviors toward clothing will allow the retail industry to better serve them. This chapter
discussed previous research to build a foundation to show that there are differences in
ethnic groups and their fashion personality characteristics (fashion leadership, fashion
involvement, shopping enjoyment, and fashion consciousness). Differences in ethnic
groups were discussed regarding shopping behaviors which included, motivation for
shopping, comfort levels of purchasing clothing for one’s self, frequency of shopping for
clothing in general, frequency of shopping for one’s self specifically, frequency of
returned clothing purchases, money spent on clothing for one’s self, and time spent on
38
shopping trips. The review also discussed previous research conducted regarding
general leadership and its relationship to fashion personality characteristics. The
present study attempts to provide a better understanding of African American and
Caucasian American college students in regard to fashion personality characteristics,
general leadership, and shopping behaviors.
39
CHAPTER III
METHODOLOGY
Using the survey research method, data were collected and analyzed. The
survey used in this study was developed to identify the similarities and differences
between African Americans’ and Caucasian Americans’ levels of general leadership and
fashion personality characteristics such as fashion involvement, fashion consciousness,
and shopping enjoyment. Shopping behavior and demographic information were
collected to compare and contrast ethnic group differences. In addition, data regarding
general leadership and fashion leadership were used to examine any relationships
between the two groups and their fashion personality characteristics.
Sample
Participants for this study were obtained from Texas Southern University (TSU),
a historically black university (HBU), and the University of North Texas (UNT), a state
university in the southwestern region of the United States. The sample was a
nonrandom convenience sample of African American and Caucasian American
students. I targeted instructors of business classes because these classes were related
to the research. Participants of other ethnicities were removed from the data sample. In
addition, because this study focused on Generation Y consumers, students older than
30 years of age were removed from the data sample.
Research Instrument
The questionnaire from a previous study conducted in a research methods
course at the University of North Texas was used in this research and additional
questions were developed based on the review of literature and recommendations given
40
by the thesis committee. I conducted a pilot study of the questionnaire with a
combination of 7 graduate and undergraduate students at the University of North Texas.
Revisions were made to the questionnaire in order to clarify the meaning of one
question. Some of the students in the pilot study misunderstood the question regarding
rationale for clothing purchase returns. The total time for completing the questionnaire
was 7 minutes.
Modifications for Final Instrument
After I presented the thesis proposal to the thesis committee the following
changes were implemented:
(a) The answer choices regarding the question for expenditure amount on
clothing were changed from asking participants to how much was spent every 3
months to every month.
(b) An open-ended question was added to the survey to identify which celebrities,
television programs and magazines were used by the respondents to obtain
ideas for fashion.
(c) An open-ended question was added at the end of the survey to allow
questionnaire respondents to express their personal opinions about fashion.
Final Instrument
The final instrument was submitted to the University of North Texas Institutional
Review Board (IRB) for approval. Approval of the study was obtained; however, this
was contingent on the research receiving approval of the study from Texas Southern
University. The final instrument was sent to the Committee for Protection of Human
Subjects at Texas Southern University and approved. The first portion of the survey
41
contained a letter to the participants that gave them information about the background
of the study and the requirements to participate. The letter first informed students of the
purpose of the study and that all responses would remain anonymous. Next, the
students were informed that the age requirement for completing the survey was a
minimum of 18 years and that answering the questions served as their consent to
participate in the study. Contact information for me and my research advisor were given
for any questions or concerns regarding the instrument. Finally, the letter informed
participants that the survey was approved by the Institutional Review Board at the
University of North Texas and the participants were thanked for their assistance in the
study.
Instrument Variables
Fashion Leadership
Goldsmith, Frieden, and Kilsheimer's (1993) Fashion Leadership Scale was
employed to measure the participants’ levels of fashion leadership. The scale originated
from a Gutman and Mills (1982) study that developed two different scales to compare
levels of fashion leadership between participants from the United States and the United
Kingdom. Both countries' scales included 17 items that were factor analyzed, and five
items were kept for each sample. For this study, the scale used the remaining five items
which were scored on a 5-point Likert scale ranging from 1 = strongly disagree to 5 =
strongly agree. The scale's reported reliability alpha was 0.85.
General Perception of Leadership
The study employed the self-confidence scale created by Wells and Tigert (1971)
to measure the respondent’s leadership. This study used a modified 6-item index that
42
was used in Dixon’s 2007 study. This scale is used as a general scale to identify self-
confidence and self-perception of leadership with scale items including “I think I have a
lot of personal ability,” “I like to be considered a leader,” and “I often can talk others into
doing something.” The six items on the scale were measured using a 5-point scale
ranging from 1= strongly disagree to 5 = strongly agree. All six items were summed to
obtain the respondent confidence score. A high score indicates that the person
perceives himself or herself as a leader. Dixon (2007) computed a Cronbach’s alpha of
0.70.
Shopping Enjoyment
O'Guinn and Faber's (1989) Shopping Enjoyment Scale, which measures the
enjoyment received from a consumer’s shopping experience, was also used. The scale
had a computed alpha of 0.89. It was composed of three items measured on a Likert
scale where 1 = strongly disagree and to 5 = strongly agree. Scores that are higher on
the scale indicate that the participant perceives shopping to be a fun activity and scores
that are lower signify that shopping is not an enjoyed experience.
Fashion Consciousness
Lumpkin and Darden's (1982) Fashion Consciousness Scale was utilized to
measure the significance of being in fashion, mainly in regard to clothing. Lumpkin and
Darden combined their two-item version with the original scale created by Wells and
Tigert (1971), which consisted of four items, for a total of six items. The scale items
range from 1 = never to 6 = always. Reliability of the scale was obtained with an alpha
of 0.74 (Manrai, Lascu, Manrai & Babb, 2001).
43
Personal Involvement Inventory
The Personal Involvement Inventory was developed by Zaichowsky (1985). This
scale is applicable to advertisements, brands, product categories and purchasing
choices. This study employed the scale to measure involvement with being fashionable.
The original scale consisted of 20 semantic differential items, which were each scored
by a 7-point, bipolar scale. For this study, the adapted 10-item scale used by Josiam,
Kinley, Kim (2005) was used. Items were summed to provide a measurement of
involvement. The sum was then averaged, the involvement score ranged from 1 = low
involvement to 7 = high involvement. Josiam et al. (2005) computed a Cronbach’s alpha
for reliability of the scale of 0.96.
Shopping Behaviors
Questions regarding purchasing behaviors were asked to identify (1) comfort
level with purchasing clothing for themselves (1 = extremely uncomfortable, 5 =
extremely comfortable), (2) the reason and frequency for returning clothing, (3) the
frequency of shopping trips, (4) the frequency personal clothing purchases both in the
stores and online, (5) the motivation for purchasing and (6) time and expenditure
amounts spent when shopping for clothing. In addition, respondents were asked open-
ended questions regarding the average amount of money they spend on clothing per
month and average amount of time do they spend on a shopping trip.
Demographics
Demographic information was collected to identify each respondent’s ethnicity,
age, major, gender, classification level in college and employment status. Nesbit and
Weinstein, (1986) explained the importance of the use of demographics to identify
44
market segments and gave four reasons for collecting demographical information. The
first reason is the demographic information is easiest way to obtain way to identify a
target market. Secondly, demographics are a strong indicator of shopping behavior.
Thirdly, demographic variables can be used to identify continuing trends. Lastly,
demographics can be used to assess the effectiveness of marketing efforts.
Additional data were collected regarding involvement with clothing, celebrities
from which ideas for fashion were received, television programs watched for ideas for
fashion and magazines read for ideas for fashion. An open-ended question was also
used to allow participants to describe the role of fashion plays in their lives. These
variables were not incorporated into this study.
Procedure for Collecting Data
A paper survey consisting of 68 questions was administered to students at the
historically black university during nine class meetings. The participants at the state
university also answered written surveys during six class meetings. All of the surveys
were administered to the students at the beginning of the class meetings by the
researcher.
Data Analysis
Questionnaires were completed and coded with the results entered into an IBM®
SPSS® Statistics statistical and data management package (SPSS Inc., an IBM
Company, Chicago, www.spss.com). Problems or missing responses within the data set
were identified by using descriptive statistics to create frequencies. The specific tests
computed are presented in Table 1.
45
Table 1
Hypotheses and Tests
Hypothesis Test
Hypothesis 1: Ethnicity will influence the following fashion personality characteristics: a: level of fashion leadership b: level of fashion involvement c: amount of shopping enjoyment d: fashion consciousness
t-test for independent means
Hypothesis 2: Ethnicity will influence the following shopping behaviors: a: comfort with purchasing clothing for self b: frequency of shopping for clothing c: frequency of purchasing clothing for self d: money spent monthly on clothing for self e: time spent on a shopping trip; and f: frequency of returned clothing purchases
t-test
χ-square
χ-square
t-test
t-test
χ-square
Hypothesis 3: Fashion leadership will be positively correlated with: a: level of general leadership b: level of fashion involvement c: amount of shopping enjoyment d: fashion consciousness e: age f: classification level in college
Correlation
Hypothesis 4: General leadership will be positively correlated with: a: level of fashion involvement b: amount of shopping enjoyment c: amount of fashion consciousness d: age e: classification level in college
Correlation
46
CHAPTER IV
RESULTS
This study’s aim was to determine whether or not ethnicity was an influence on
Scale: Fashion consciousness a I usually have one or more outfits of the latest style.
3.78 1.06 3.08 1.20 3.45 1.19
I usually dress for fashion, not comfort.
2.97 1.17 2.59 1.13 2.79 1.16
An important part of my life and activities is dressing stylishly.
3.13 1.15 2.71 1.01 2.93 1.10
I often try the latest hair styles when they change.
2.35 1.29 2.10 1.10 2.24 1.21
It is important to me that my clothes be of the latest style.
2.97 1.15 2.50 1.06 2.75 1.13
A person should try to dress in fashion.
3.13 1.04 2.78 .90 2.97 .99
(table continues)
50
Table 3 (continued.)
African American
Caucasian American
Total
M SD M SD M SD
Scale: Shopping enjoyment a
I shop because buying things makes me happy.
3.29 1.41 3.10 1.35 3.20 1.38
Shopping is fun. 3.72 1.30 3.35 1.36 3.55 1.34
I get a real “high” from shopping. 3.00 1.88 2.74 1.38 2.88 1.67 Note:
a Likert-type scale was used with 5 = always and 1 = never.
b Likert-type scale was used with 5 = strongly agree, 4 = agree, 3 = neutral, 2 = disagree, and 1 = strongly
disagree. c The 10 semantic items were each scored on a 7-point, bipolar scale where the 1st term = 1 and the 2nd
term = 7. *These statements were reversed scored.
Shopping Behavior
Respondents were asked to identify their shopping behaviors regarding (1)
comfort level with purchasing clothing for themselves, (2) the reason and frequency for
returning clothing, (3) the frequency of shopping trips, (4) the frequency personal
clothing purchases (5) the motivation for purchasing, and (6) time and expenditure
amounts spent when shopping for clothing. Respondents were also asked about their
motivation to shop for clothing. The highest number of subjects indicated that they were
motivated by the opportunity to take advantage of sales (20.6%) and 47.4% indicated
their motivation was due to wanting something new. Frequencies and the mean scores
were calculated for the shopping behavior questions for both ethnic backgrounds and
the total sample (Table 4). The missing responses for various categories within the
shopping behavior questions are due to the respondent’s ability to select “not applicable
(n/a)” or non-response.
51
Table 4
Frequencies of Shopping Behaviors
African American (n = 268)
Caucasian American (n = 239)
Total (N = 507)
n % n % n %
Items purchased and returned (in the last 3 months) None 139 51.9% 127 53.1% 266 52.5% 1-5 110 41.0% 94 39.3% 204 40.2% 6-10 9 3.4% 13 5.4% 22 4.3% 11-15 8 3.0% 5 2.1% 13 2.6% 16 or more 2 0.7% 0 0.0% 2 0.4%
Reason for clothing purchase returns
Poor fit 47 17.7% 54 22.8% 101 20.1% Did not go with present wardrobe 10 3.8% 12 5.1% 22 4.4% Wrong style for body type 22 8.3% 25 10.5% 47 9.4% Did not try on first 81 30.6% 60 25.3% 141 28.1% Negative reaction from others. 0 0.0% 2 0.8% 2 0.4% Other 9 3.4% 16 6.8% 25 5.0%
Frequency of shopping trips
Twice a month 22 8.2% 40 16.7% 62 12.2% About once a month. 25 9.3% 46 19.2% 71 14.0% About once every two months. 53 19.8% 52 21.8% 105 20.7% Once a season (4 times a year). 80 29.9% 58 24.3% 138 27.2% Less than 4 times a year. 88 32.8% 43 18.0% 131 25.8%
Frequency of personal purchases
Rarely/almost never 9 3.4% 22 9.2% 31 6.1% Sometimes 41 15.3% 76 31.8% 117 23.1% Most of the time 129 48.1% 104 43.5% 233 46.0% Every time 89 33.2% 37 15.5% 126 24.9%
Motivation to shop
Social occasion 34 12.7% 29 12.2% 63 12.5% Change of season 24 9.0% 20 8.4% 44 8.7% Take advantage of sales 59 22.0% 45 18.9% 104 20.6% Size has changed 20 7.5% 17 7.1% 37 7.3% Want something new 118 44.0% 122 51.3% 240 47.4% Keep up with new styles 13 4.9% 5 2.1% 18 3.6%
52
Table 5 Mean Scores for Comfort Level of Purchases, Expenditure and Time Spent Shopping
African American
(n = 268)
Caucasian American (n = 239)
Total
(N = 507)
M SD M SD M SD
Shopping behaviors
Comfort level of purchasing clothing for selfa
4.42 0.86 4.19 0.89 4.31 0.88
Time spent shopping (in minutes)
165.00 99.00 132.00 70.00 149.00 88.00
Monthly clothing expenditure
$203.00 $188.00 $121.29 $115.64 $164.34 $162.34
Note: a
Likert-type scale was used with 5 = extremely comfortable and 1 = extremely uncomfortable.
When questioned about the comfort level of making their own clothing purchase
decisions for themselves, the entire sample was close to “extremely comfortable” (M =
4.31). However, African Americans were more comfortable with making their own
clothing purchase decisions (M = 4.42) than Caucasian Americans (M = 4.19). The
comfort level of the sample making their own clothing purchase decisions is supported
by the responses regarding frequencies of returns. The number of items purchased and
returned in the last three months was low for the majority of the sample. Fifty-one
percent of African Americans indicated that they had not returned an item of clothing
they purchased and 41% returned between one to five items in the last three months.
Fifty-three percent of Caucasian Americans indicated that they had not returned an item
of clothing they purchased and 39.3% have returned one to five items in the last three
months.
53
Respondents also indicated reasons for returns with the majority of the sample
ranging from poor fit (20.1%) to did not try on first (28.1%), which may indicate poor fit
as well. Eighty-one African Americans indicated they returned clothing because of not
trying on clothing first, while only 60 Caucasian Americans indicated this was a reason
for returns.
Respondents were also questioned about how often they went on shopping trips,
and how often they made personal purchases. Overall, most of the respondents
(27.3%) went shopping once a season (four times a year), 25.8% went fewer than four
times a year, and 20.7% about once every two months. Responses for the frequency of
personal purchases when shopping indicated that the majority of subjects either
purchase for themselves most of the time (46.0%) or every time (24.9%). Forty-eight
percent of African Americans indicated that they purchase for themselves most of the
time or every time (33.2%), while 43.5% of Caucasian Americans indicated that they
purchase for themselves most of the time and but only 15.5% purchase every time.
Finally, respondents were asked how much time they spend on a shopping trip
and how much money they spend on clothing per month. The mean score for each
question was computed for both African Americans and Caucasian American
participants, and for the total sample. Each subject’s responses for the time spent on a
shopping trip were converted to minutes. African American respondents indicated they
spent more time on a shopping trip (M = 165 minutes) than Caucasian Americans (M =
132 minutes). Responses for the amount of money spent on clothing per month varied
from $0 to $6,000 and a scatter plot was created to remove the outliers. After removing
the outliers the amount of money spent on clothing ranged from $20 to $1,000. The
54
mean for African Americans was $203.60, which was almost double the mean for
Caucasian Americans (M = $121.34). The total sample mean was $164.34 (Table 5).
Therefore, findings from this study indicate that African Americans shop more often,
spend more time shopping, purchase more for themselves, and spend more on clothing
than Caucasian Americans.
Reliability of Instrument
To determine internal consistency for the fashion leadership, general leadership,
fashion involvement, fashion consciousness and shopping enjoyment scales,
Cronbachs’s alpha was computed. A rating of 0.70 was used as the accepted standard
for reliability (Nunnally, 1978). Alphas obtained in the study were similar to the originally
published statistics. As indicated in Table 6 the coefficients for each scale ranged from
0.72 to 0.96.
Table 6
Cronbach’s Alpha Reliability of Survey Scales
Scale Number of Items Reliability (α)
for current study Original (α)
Fashion leadership 6 0.82 0.85
General leadership 6 0.72 0.73
Fashion involvement 10 0.96 0.89
Fashion consciousness
6 0.86 0.96
Shopping enjoyment 3 0.81 0.88
55
Analysis of Hypotheses
Four hypotheses were developed for the study based on the review of literature.
The data collected from the final instrument were statistically analyzed to apply to the
designated hypotheses within the study.
H1: Ethnicity and Fashion Personality Characteristics
Hypothesis 1 stated that ethnicity will influence fashion leadership, fashion
involvement, shopping enjoyment, and fashion consciousness. To assess this
hypothesis, independent t-tests were computed with ethnicity as the dependent
variable. Differences were significant at the 0.01 level between the two ethnicities and
fashion leadership (t = 6.00; p < .001), fashion involvement (t = 3.70; p < .001),
shopping enjoyment (t = 2.41; p < .05) and fashion consciousness (t = 5.64; p < .001)
as indicated in Table 7. Analysis of the means indicated African American participants
saw themselves as stronger fashion leaders, had a higher degree of fashion
involvement, enjoyed shopping more, and were more fashion consciousness than
Caucasian Americans. Therefore Hypothesis 1 was accepted (Figure 3).
56
Fashion Leadership
Fashion Involvement
Shopping Enjoyment
Fashion Consciousness
Fashion Personality Characteristics
Ethnicity
Shopping Behaviors
Comfort in Buying Clothing for Self
Frequency of Shopping for Clothing
Frequency of Purchasing Clothing for Self
Money Spent on Clothing for Self
Time Spent on Shopping Trip
Frequency of Returned Clothing Purchases
H1a
(t =
6.00
, p<
.001
)
H1b
(t = 3
.70,
p <
.001
H1c
(t= 2.41, p
< .05)
H1d
(t = 5.64, p < .001)
H2a
(t = 2.94, p < .01)
H2d(t = 5.41, p < .001)H2e(t = 4.21, p < .001)
H2b(χ² = 28.85, p < .001)
H2c(χ² = 38.53, p < .001)
Figure 3. Ethnicity’s relationship to fashion personality characteristics and shopping behaviors.
57
Table 7
The Influence of Ethnicity on Fashion Personality Characteristics: t-test Results
The second hypothesis stated that ethnicity will influence comfort in purchasing
clothing decisions for self, frequency of shopping for clothing, frequency of shopping for
clothing for self, frequency of returns, money spent on clothing, and the time spent on a
shopping trip. To assess Hypothesis 2, independent t-tests and chi square statistics
were computed as appropriate. The t-tests presented significant differences between
the two ethnic backgrounds and comfort in purchasing clothing decisions for self (t =
2.94; p < .01), amount money spent on clothing (t = 5.41; p < .001), and the time spent
on a shopping trip (t = 4.21; p < .001). An examination of Table 8 reveals that there
were higher means for African Americans than Caucasian Americans for all of the
shopping behaviors measured.
To assess relationships between ethnicity and shopping behaviors: frequency of
shopping for clothing, frequency of purchasing clothing for self, frequency of shopping
for clothing, and frequency of returns. These segments of the hypothesis were
computed using a chi-square test of independence. Significant relationships were
58
identified between frequency of shopping for clothing (χ2 = 28.85, p < .001), and
frequency of purchasing clothing for self (χ2 = 38.53, p < .001). Independent t-tests for
frequency of returns were computed with ethnicity as the dependent variable. The
difference between the two ethnic groups and frequency of clothing returns was not
significant (Table 9). Therefore Hypothesis 2 was accepted for the shopping behaviors,
comfort in purchasing clothing decisions for self, frequency of shopping for clothing,
frequency of shopping for clothing for self, money spent on clothing, and the time spent
on a shopping trip (Figure 3).
Table 8
The Influence of Ethnicity on Shopping Behaviors: t-test Results
African American Caucasian American
M SD M SD t p
Comfort in purchasing clothing for self
4.42a 0.86 4.20 0.89 2.94 0.0030
Amount of money spent on clothing
$203.00 $188.00 $121.29 $115.64 5.41 0.0001
Amount of time spent on shopping trip
165b 99 132 70 4.21 0.0001
Note: a
Measured on a 5-point, Likert type scale where 1 = extremely uncomfortable and 5 = extremely comfortable.
b Converted to minutes
59
Table 9
The Influence of Ethnicity on Shopping Behaviors: χ² Results
African American
Caucasian American
Χ²
% %
Frequency of shopping for clothing Twice a month or more 67.2 32.8 28.85** About once a month 58.0 42.0 About once every 2 months 50.5 49.5 Once a season (4 times a year) 32.5 64.8 Fewer than 4 times a year. 52.9 47.1
Frequency of purchasing clothing for self Rarely/almost never 29.0 71.0 38.53** Sometimes 35.0 65.0
June 03, 2009 Davette Angelo School of Merchandising & Hospitality Management University of North Texas
We are pleased to inform you that you may conduct your research entitled "YOU
ARE WHAT YOU WEAR:THE RELATIONSHIP BETWEEN FASHION LEADERSHIP AND GENERAL
LEADERSHIP AMONG AFRICAN AMERICANS AND CAUCASIAN AMERICANS.” Based on the documents provided to the Texas Southern University (TSU) Committee for the Protection of Human Subjects (CPHS), a careful review of the proposal by the
committee gives approval of the proposed research. This approval is extended to you for one year. Should you make changes in the methodology as it affects human subjects at TSU you must inform the committee. Should data collection proceed past one year, you must submit a new application to the committee.
Thank you for your cooperation with the committee and we wish you well with your research project.
PLEASE NOTE: (1) All subjects must receive a copy of the informed consent document. If you are using a consent document that
requires participants’ signatures, signed copies can only be retained for a minimum of 3 years or 5 years for external supported projects. Signed consents from student projects will be retained by the faculty advisor. Faculty is responsible for retaining signed
consents for their own projects; however, if the faculty leaves the university, access must be made available to TSU CPHS in the event of an agency audit. (2) Research investigators will promptly report to the CPHS any injuries or other unanticipated problems involving
risks to subjects and others.
Tequerio Banks Texas Southern University Office of Research Hannah Hall Suite 230 3100 Cleburne Street Houston, TX 77004 Phone: 713-313-4301 Fax: 713-313-7598 E-mail: [email protected] http://www.tsu.edu/research
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